Bayesian Q-learning in multi-objective reward model for homophobic and transphobic text classification in low-resource languages: A hypothesis testing framework in multi-objective... by Vivek Suresh Raj, Ruba Priyadharshini, Saranya Rajiakodi, Bharathi Raja Chakravarthi

“…Most Reinforcement Learning (RL) algorithms optimize a single-objective function, whereas real-world decision-making involves multiple aspects. …”
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To Self-Treat or Not to Self-Treat: Evaluating the Diagnostic, Advisory and Referral Effectiveness of ChatGPT Responses to the Most Common Musculoskeletal Disorders by Ufuk Arzu, Batuhan Gencer

“…Our objective was to evaluate the reliability, comprehensibility, and readability of the responses provided by ChatGPT 4.0 when queried about the most prevalent orthopaedic problems, thus ascertaining the occurrence of misguidance and the necessity for an audit of the disseminated information. …”
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Global prevalence of long COVID and its most common symptoms among healthcare workers: a systematic review and meta-analysis by Shirley Sze, Katherine Woolf, Manish Pareek, Carolyn Tarrant, Daniel Pan, Christopher A Martin, Danielle Lamb, Mayuri Gogoi, Amani Al-Oraibi, Laura B Nellums, Joshua Nazareth, Brendan Dempsey, Pip Divall, Jatin Naidu

“…However, there is limited knowledge regarding the prevalence, symptoms and clustering of long COVID in HCWs. We aimed to estimate the pooled prevalence and identify the most common symptoms of long COVID among HCWs who were infected with SARS-CoV-2 virus globally, and investigate any differences by geographical region and other factors.Design Systematic review and meta-analysis (PROSPERO CRD42022312781).Data sources We searched MEDLINE, CINAHL, EMBASE, PsycINFO and the grey literature from 31 December 2019 until 18 February 2022.Eligibility criteria We included studies reporting primary data on long COVID prevalence and symptoms in adult HCWs who had SARS-CoV-2 infection.Data extraction and synthesis Methodological quality was assessed using the Joanna Briggs Institute checklist. …”
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CALCULATION OF A GLARE STOP FOR TWO-MIRROR EXTRA-FOCAL OBJECTIVE by L. F. Zambrano, N. K. Artyukhina, L. V. Peroza

“…At the same time, much attention is paid to the development of new optical schemes of two-mirror objectives. Development measures to protect the image plane from stray light and harmful flows with minimal vignetting and screening is one of the most perspective ways for improving the image quality objectives. …”
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Distinguishing Compact Objects in Extreme-Mass-Ratio Inspirals by Gravitational Waves by Lujia Xu, Shucheng Yang, Wenbiao Han, Xingyu Zhong, Rundong Tang, Yuanhao Zhang

“…EMRI signals typically have long durations, ranging from several months to several years, necessitating highly accurate GW signal templates for detection. In most waveform models, compact objects in EMRIs are treated as test particles without accounting for their spin, mass quadrupole, or tidal deformation. …”
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Object-Specific Multiview Classification Through View-Compatible Feature Fusion by Javier Perez Soler, Jose-Luis Guardiola, Nicolás García Sastre, Pau Garrigues Carbó, Miguel Sanchis Hernández, Juan-Carlos Perez-Cortes

“…Most existing approaches operate within closed-set environments and are focused on generalization, which makes them less effective in distinguishing individual objects from others. …”
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Method of multilayer object sectioning based on a light scattering model by S.D. Bazhitov, A.V. Larichev, A.V. Razgulin, T.E. Romanenko

“…It is concluded that the method is most effective on multilayer objects with clearly defined boundaries, on which the method has demonstrated almost complete restoration of the desired layers.…”
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Young Stellar Objects in the Carina Nebula: Near-infrared Variability and Spectroscopy by Jura Borissova, Radostin Kurtev, Josemanuel Escobar, Javier Alonso-García, Nicolas Medina, Javier Osses, Zhen Guo, Philip W. Lucas, Michael Kuhn, Dante Minniti, Kevin R. Covey, Roberto K. Saito, Francisco Förster

“…We present a catalog of 652 young stellar objects (YSOs) in the Carina star-forming region. …”
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The emotional compound of information and its volume estimation by M. Yu. Sverdlov

“…The data analysis has been carried on by determining structural logical relationships of the researched object. Main logic: 1) growing amounts of digital information is observed in the world; 2) dynamics of the pragmatic (most valuable) component share is considerably lagged behind at the background of such rapid growth; 3) it is necessary to resolve a problem: «What is the main part of digital information amount consisted of?»…”
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Disproportionality Analysis of the Five Most Widespread Neurological Effects of COVID-19 Vaccines from 2021 to 2023: Insights from EudraVigilance by Arturo Gómez López de las Huertas, Stefan Stewart, Mikel Urroz Elizalde, Javier Guijarro-Eguinoa, Enrique Seco-Meseguer, Elena Diago-Sempere, María Jiménez González, Antonio J. Carcas-Sansuan, Alberto M. Borobia Pérez, Elena Ramírez

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A Stride Toward Wine Yield Estimation from Images: Metrological Validation of Grape Berry Number, Radius, and Volume Estimation by Bernardo Lanza, Davide Botturi, Alessandro Gnutti, Matteo Lancini, Cristina Nuzzi, Simone Pasinetti

“…Yield estimation is a key point theme for precision agriculture, especially for small fruits and in-field scenarios. …”
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The estimation of the adaptability of collection pea plants productivity by K. N. Khabibullin, A. R. Ashiev, M. V. Skulova

“…Khangildin (1984). The most agroecological methodologies of estimation have significant drawbacks. …”
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THE ESTIMATION OF ADAPTABILITY PARAMETERS OF THE COLLECTION SAMPLES OF SAINFOIN by S. A. Ignatiev, A. A. Regidin

“…The estimation of the initial material is the most important part of the breeding process. …”
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Estimating the global burden of endemic canine rabies. by Katie Hampson, Laurent Coudeville, Tiziana Lembo, Maganga Sambo, Alexia Kieffer, Michaël Attlan, Jacques Barrat, Jesse D Blanton, Deborah J Briggs, Sarah Cleaveland, Peter Costa, Conrad M Freuling, Elly Hiby, Lea Knopf, Fernando Leanes, François-Xavier Meslin, Artem Metlin, Mary Elizabeth Miranda, Thomas Müller, Louis H Nel, Sergio Recuenco, Charles E Rupprecht, Carolin Schumacher, Louise Taylor, Marco Antonio Natal Vigilato, Jakob Zinsstag, Jonathan Dushoff, Global Alliance for Rabies Control Partners for Rabies Prevention

“…<h4>Background</h4>Rabies is a notoriously underreported and neglected disease of low-income countries. This study aims to estimate the public health and economic burden of rabies circulating in domestic dog populations, globally and on a country-by-country basis, allowing an objective assessment of how much this preventable disease costs endemic countries.…”
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Visualization of the research landscape on the 20 m shuttle run test in the last 15 years: bibliometric analysis with VOSviewer of the most cited studies by Boryi A. Becerra-Patiño, Boryi A. Becerra-Patiño, Juan David Paucar Uribe, Rodrigo Yáñez-Sepúlveda, Tomas Reyes-Amigo, Júlio Brugnara Mello, João Martins, Anelise Reis Gaya, José Francisco López-Gil, José Francisco López-Gil, Jorge Olivares-Arancibia

“…The most cited authors are Ruiz, Castro-Piñero, Mayorga-Vega, Ortega, and Tomkinson. …”
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The Perception and Estimation of Others’ Pain according to Children by Mathieu Grégoire, Rosée Bruneau-Bhérer, Karine Morasse, Fanny Eugène, Philip L. Jackson

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Comparative analysis of single-view and multiple-view data collection strategies for detecting partially-occluded grape bunches: Field trials by Mar Ariza-Sentís, Hilmy Baja, Sergio Vélez, Rick van Essen, João Valente

“…While most research concentrates on data processing algorithms, this study focused on the preceding step: collecting reliable data. …”
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Increase the effectiveness of radar detection systems by adapting to the spatial orientation of the object of observation by S. N. Yarmolik, M. V. Svinarskiy, A. S. Khramenkov, E. V. Zaiko

“…Using mathematical modeling, it is shown that the utilization of adaptive range-finding radiolocation portraits of the object of observation on the basis of the most plausible estimates of its angles of spatial orientation increases of the efficiency of recognition. …”
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Preference-based expensive multi-objective optimization without using an ideal point by Peipei Zhao, Liping Wang, Qicang Qiu

“…However, most existing methods rely on the estimated ideal point. …”
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Multi-objective optimization design for accelerated degradation test based on game theory by Jinyan Guo, Zhiwu Han, Shuangfeng Wu, Junqi Long, Chuanhai Chen, Zhifeng Liu

“…Abstract Accelerated degradation test is an effective way for the rapid reliability assessment of mechanical systems. Most of the existing optimization methods for accelerated degradation tests aim to optimize objective functions with a single objective, which leads to inappropriate optimization results. …”
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